repo_type string | repo_id string | name string | repo_key string | observed_at string | url string | author string | created_at string | last_modified string | sha string | description string | tags list | license string | pipeline_tag string | library_name string | sdk string | downloads int64 | likes int64 | gated string | private bool | base_models list | base_model_relation string | datasets list | models list | new_version list | payload_json string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
dataset | 14RDFSFS/DASDF66011 | null | dataset:14RDFSFS/DASDF66011 | 2026-09-26T22:04:24.257353+00:00 | https://huggingface.co/datasets/14RDFSFS/DASDF66011 | 14RDFSFS | 2026-01-07T18:53:33.000Z | 2026-01-07T18:53:33.000Z | 949eb393ee4d73561c6df889745ac3a8e9b538f7 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"695eabad9b71224e90d1000c","author":"14RDFSFS","createdAt":"2026-01-07T18:53:33.000Z","downloads":1,"gated":false,"id":"14RDFSFS/DASDF66011","lastModified":"2026-01-07T18:53:33.000Z","likes":0,"private":false,"sha":"949eb393ee4d73561c6df889745ac3a8e9b538f7","tags":["region:us"]} |
dataset | 14RDFSFS/DASFSD41857 | null | dataset:14RDFSFS/DASFSD41857 | 2026-09-26T22:04:28.062696+00:00 | https://huggingface.co/datasets/14RDFSFS/DASFSD41857 | 14RDFSFS | 2026-01-10T16:02:23.000Z | 2026-01-10T16:02:23.000Z | f93bc7c72670ef566f6a2ddbdb2a18fea029f789 | null | [
"region:us"
] | null | null | null | null | 4 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6962780ff3274c78cd1f2b2b","author":"14RDFSFS","createdAt":"2026-01-10T16:02:23.000Z","downloads":4,"gated":false,"id":"14RDFSFS/DASFSD41857","lastModified":"2026-01-10T16:02:23.000Z","likes":0,"private":false,"sha":"f93bc7c72670ef566f6a2ddbdb2a18fea029f789","tags":["region:us"]} |
dataset | 14RDFSFS/DASFSF11357 | null | dataset:14RDFSFS/DASFSF11357 | 2026-09-26T22:04:26.619602+00:00 | https://huggingface.co/datasets/14RDFSFS/DASFSF11357 | 14RDFSFS | 2026-01-09T09:01:37.000Z | 2026-01-09T09:01:37.000Z | 55d61be94065660b82d3698ae64b9b0a02b201c4 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6960c3f1f5d90ca0af2aacc5","author":"14RDFSFS","createdAt":"2026-01-09T09:01:37.000Z","downloads":1,"gated":false,"id":"14RDFSFS/DASFSF11357","lastModified":"2026-01-09T09:01:37.000Z","likes":0,"private":false,"sha":"55d61be94065660b82d3698ae64b9b0a02b201c4","tags":["region:us"]} |
dataset | 14RDFSFS/DGF4G55351 | null | dataset:14RDFSFS/DGF4G55351 | 2026-09-26T22:04:28.062696+00:00 | https://huggingface.co/datasets/14RDFSFS/DGF4G55351 | 14RDFSFS | 2026-01-10T16:03:22.000Z | 2026-01-10T16:03:22.000Z | 6df19bbb3b6ef7a881ab542b4caedd8b23047b67 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6962784ab1464254cde0f6bb","author":"14RDFSFS","createdAt":"2026-01-10T16:03:22.000Z","downloads":1,"gated":false,"id":"14RDFSFS/DGF4G55351","lastModified":"2026-01-10T16:03:22.000Z","likes":0,"private":false,"sha":"6df19bbb3b6ef7a881ab542b4caedd8b23047b67","tags":["region:us"]} |
dataset | 14RDFSFS/DSAFS7358 | null | dataset:14RDFSFS/DSAFS7358 | 2026-09-26T22:04:29.705802+00:00 | https://huggingface.co/datasets/14RDFSFS/DSAFS7358 | 14RDFSFS | 2026-01-12T12:32:20.000Z | 2026-01-12T12:32:20.000Z | 56837488aee2e9271d94bada1272a0ee67fa24c2 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6964e9d4ddea2667a3724e9c","author":"14RDFSFS","createdAt":"2026-01-12T12:32:20.000Z","downloads":1,"gated":false,"id":"14RDFSFS/DSAFS7358","lastModified":"2026-01-12T12:32:20.000Z","likes":0,"private":false,"sha":"56837488aee2e9271d94bada1272a0ee67fa24c2","tags":["region:us"]} |
dataset | 14RDFSFS/EQDWSF232 | null | dataset:14RDFSFS/EQDWSF232 | 2026-09-26T22:04:06.688535+00:00 | https://huggingface.co/datasets/14RDFSFS/EQDWSF232 | 14RDFSFS | 2025-12-30T09:21:42.000Z | 2025-12-30T09:21:42.000Z | b858bcf08c27478590146a2f0b3b11e3762a0019 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"695399a6d243081e0e28cde4","author":"14RDFSFS","createdAt":"2025-12-30T09:21:42.000Z","downloads":1,"gated":false,"id":"14RDFSFS/EQDWSF232","lastModified":"2025-12-30T09:21:42.000Z","likes":0,"private":false,"sha":"b858bcf08c27478590146a2f0b3b11e3762a0019","tags":["region:us"]} |
dataset | 14RDFSFS/G4410178 | null | dataset:14RDFSFS/G4410178 | 2026-09-26T22:04:28.062696+00:00 | https://huggingface.co/datasets/14RDFSFS/G4410178 | 14RDFSFS | 2026-01-10T16:04:23.000Z | 2026-01-10T16:04:23.000Z | 5ae38cba41126f54723c3a77c7194dce6b96cb67 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"696278877e8350085b21bccc","author":"14RDFSFS","createdAt":"2026-01-10T16:04:23.000Z","downloads":1,"gated":false,"id":"14RDFSFS/G4410178","lastModified":"2026-01-10T16:04:23.000Z","likes":0,"private":false,"sha":"5ae38cba41126f54723c3a77c7194dce6b96cb67","tags":["region:us"]} |
dataset | 14RDFSFS/Q1DDFWF | null | dataset:14RDFSFS/Q1DDFWF | 2026-09-26T22:04:10.358442+00:00 | https://huggingface.co/datasets/14RDFSFS/Q1DDFWF | 14RDFSFS | 2026-01-01T15:32:31.000Z | 2026-01-01T15:32:31.000Z | d144ecf9b68d3112bd7b31b45ac22fc23264ead6 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6956938f738208fc95eefbb0","author":"14RDFSFS","createdAt":"2026-01-01T15:32:31.000Z","downloads":1,"gated":false,"id":"14RDFSFS/Q1DDFWF","lastModified":"2026-01-01T15:32:31.000Z","likes":0,"private":false,"sha":"d144ecf9b68d3112bd7b31b45ac22fc23264ead6","tags":["region:us"]} |
dataset | 14RDFSFS/QDFWE16145 | null | dataset:14RDFSFS/QDFWE16145 | 2026-09-26T22:04:22.857568+00:00 | https://huggingface.co/datasets/14RDFSFS/QDFWE16145 | 14RDFSFS | 2026-01-06T15:14:03.000Z | 2026-01-06T15:14:03.000Z | b9377a125ca0989c7a0d10fccadee61f01c0a6eb | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"695d26bb4e351abe526079ad","author":"14RDFSFS","createdAt":"2026-01-06T15:14:03.000Z","downloads":1,"gated":false,"id":"14RDFSFS/QDFWE16145","lastModified":"2026-01-06T15:14:03.000Z","likes":0,"private":false,"sha":"b9377a125ca0989c7a0d10fccadee61f01c0a6eb","tags":["region:us"]} |
dataset | 14RDFSFS/SADSFS3841 | null | dataset:14RDFSFS/SADSFS3841 | 2026-09-26T22:04:24.257353+00:00 | https://huggingface.co/datasets/14RDFSFS/SADSFS3841 | 14RDFSFS | 2026-01-07T18:56:02.000Z | 2026-01-07T18:56:02.000Z | eb20f4e83240359aac6d72d7eb00f780a61c06c7 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"695eac42cc177b5e774bba0f","author":"14RDFSFS","createdAt":"2026-01-07T18:56:02.000Z","downloads":1,"gated":false,"id":"14RDFSFS/SADSFS3841","lastModified":"2026-01-07T18:56:02.000Z","likes":0,"private":false,"sha":"eb20f4e83240359aac6d72d7eb00f780a61c06c7","tags":["region:us"]} |
dataset | 14RDFSFS/SASF47505 | null | dataset:14RDFSFS/SASF47505 | 2026-09-26T22:04:26.619602+00:00 | https://huggingface.co/datasets/14RDFSFS/SASF47505 | 14RDFSFS | 2026-01-09T09:00:25.000Z | 2026-01-09T09:00:25.000Z | a5f1816eff407e40c0e53521227702b0e0ff9370 | null | [
"region:us"
] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6960c3a9ceb27816e1a494e8","author":"14RDFSFS","createdAt":"2026-01-09T09:00:25.000Z","downloads":2,"gated":false,"id":"14RDFSFS/SASF47505","lastModified":"2026-01-09T09:00:25.000Z","likes":0,"private":false,"sha":"a5f1816eff407e40c0e53521227702b0e0ff9370","tags":["region:us"]} |
dataset | 14RDFSFS/SASFFS22625 | null | dataset:14RDFSFS/SASFFS22625 | 2026-09-26T22:04:26.619602+00:00 | https://huggingface.co/datasets/14RDFSFS/SASFFS22625 | 14RDFSFS | 2026-01-09T09:02:55.000Z | 2026-01-09T09:02:55.000Z | 9d59f8d3efdda05cb8ba5140763b88680cd4f9b2 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6960c43f9ccaaf87b4b6a804","author":"14RDFSFS","createdAt":"2026-01-09T09:02:55.000Z","downloads":1,"gated":false,"id":"14RDFSFS/SASFFS22625","lastModified":"2026-01-09T09:02:55.000Z","likes":0,"private":false,"sha":"9d59f8d3efdda05cb8ba5140763b88680cd4f9b2","tags":["region:us"]} |
dataset | 14RDFSFS/SDDFDG28132 | null | dataset:14RDFSFS/SDDFDG28132 | 2026-09-26T22:04:34.527755+00:00 | https://huggingface.co/datasets/14RDFSFS/SDDFDG28132 | 14RDFSFS | 2026-01-15T06:04:05.000Z | 2026-01-15T06:04:05.000Z | 563b7e2f855e3c0aeb3401a84c46750bc29656ef | null | [
"region:us"
] | null | null | null | null | 4 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69688355fdda77812f1e3e00","author":"14RDFSFS","createdAt":"2026-01-15T06:04:05.000Z","downloads":4,"gated":false,"id":"14RDFSFS/SDDFDG28132","lastModified":"2026-01-15T06:04:05.000Z","likes":0,"private":false,"sha":"563b7e2f855e3c0aeb3401a84c46750bc29656ef","tags":["region:us"]} |
dataset | 14RDFSFS/SDFD54070 | null | dataset:14RDFSFS/SDFD54070 | 2026-09-26T22:04:26.033782+00:00 | https://huggingface.co/datasets/14RDFSFS/SDFD54070 | 14RDFSFS | 2026-01-08T17:37:16.000Z | 2026-01-08T17:37:16.000Z | f8f293c29f59cf5745c3d2c1c4567c0cb47a1fea | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"695feb4c9ccaaf87b4accbb3","author":"14RDFSFS","createdAt":"2026-01-08T17:37:16.000Z","downloads":1,"gated":false,"id":"14RDFSFS/SDFD54070","lastModified":"2026-01-08T17:37:16.000Z","likes":0,"private":false,"sha":"f8f293c29f59cf5745c3d2c1c4567c0cb47a1fea","tags":["region:us"]} |
dataset | 14RDFSFS/WDFW2F7219 | null | dataset:14RDFSFS/WDFW2F7219 | 2026-09-26T22:04:29.705802+00:00 | https://huggingface.co/datasets/14RDFSFS/WDFW2F7219 | 14RDFSFS | 2026-01-12T12:30:57.000Z | 2026-01-12T12:30:57.000Z | 4a4636da189f64e0ee399090230108547ca5e129 | null | [
"region:us"
] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6964e981ddd2ead5933b65e6","author":"14RDFSFS","createdAt":"2026-01-12T12:30:57.000Z","downloads":2,"gated":false,"id":"14RDFSFS/WDFW2F7219","lastModified":"2026-01-12T12:30:57.000Z","likes":0,"private":false,"sha":"4a4636da189f64e0ee399090230108547ca5e129","tags":["region:us"]} |
dataset | 14RDFSFS/WF23WF2597 | null | dataset:14RDFSFS/WF23WF2597 | 2026-09-26T22:04:29.081959+00:00 | https://huggingface.co/datasets/14RDFSFS/WF23WF2597 | 14RDFSFS | 2026-01-11T13:33:57.000Z | 2026-01-11T13:33:57.000Z | 0975d4d230327b7160b1b4070f0b2220f0cd2f16 | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6963a6c5a732662b4d443c85","author":"14RDFSFS","createdAt":"2026-01-11T13:33:57.000Z","downloads":1,"gated":false,"id":"14RDFSFS/WF23WF2597","lastModified":"2026-01-11T13:33:57.000Z","likes":0,"private":false,"sha":"0975d4d230327b7160b1b4070f0b2220f0cd2f16","tags":["region:us"]} |
dataset | 14RDFSFS/WFWG4038 | null | dataset:14RDFSFS/WFWG4038 | 2026-09-26T22:04:31.000057+00:00 | https://huggingface.co/datasets/14RDFSFS/WFWG4038 | 14RDFSFS | 2026-01-13T13:45:39.000Z | 2026-01-13T13:45:40.000Z | 1c6c1c59ff0e1880c05073d11479a629ee105aea | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69664c835118a276973dfa38","author":"14RDFSFS","createdAt":"2026-01-13T13:45:39.000Z","downloads":1,"gated":false,"id":"14RDFSFS/WFWG4038","lastModified":"2026-01-13T13:45:40.000Z","likes":0,"private":false,"sha":"1c6c1c59ff0e1880c05073d11479a629ee105aea","tags":["region:us"]} |
dataset | 14egor12/111222111 | null | dataset:14egor12/111222111 | 2026-09-26T22:22:02.023086+00:00 | https://huggingface.co/datasets/14egor12/111222111 | 14egor12 | 2026-09-24T06:36:07.000Z | 2026-09-24T06:36:08.000Z | 0d7d62319304e1d76b38454e6c24dccbc7555e27 | null | [
"region:us"
] | null | null | null | null | 19 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6ab4c4d7633bc674aa842158","author":"14egor12","createdAt":"2026-09-24T06:36:07.000Z","downloads":19,"gated":false,"id":"14egor12/111222111","lastModified":"2026-09-24T06:36:08.000Z","likes":0,"private":false,"sha":"0d7d62319304e1d76b38454e6c24dccbc7555e27","tags":["region:us"]} |
dataset | 14kwonss/omnilingual_slid | null | dataset:14kwonss/omnilingual_slid | 2026-09-26T22:04:53.182533+00:00 | https://huggingface.co/datasets/14kwonss/omnilingual_slid | 14kwonss | 2026-02-04T19:24:09.000Z | 2026-02-04T19:24:09.000Z | 46b0bbbf05b2972cd2782cd57be1baa291f8af36 | null | [
"region:us"
] | null | null | null | null | 4 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69839cd9f272de565cd24113","author":"14kwonss","createdAt":"2026-02-04T19:24:09.000Z","downloads":4,"gated":false,"id":"14kwonss/omnilingual_slid","lastModified":"2026-02-04T19:24:09.000Z","likes":0,"private":false,"sha":"46b0bbbf05b2972cd2782cd57be1baa291f8af36","tags":["region:us"]} |
dataset | 14kwonss/test | null | dataset:14kwonss/test | 2026-09-26T21:59:49.577161+00:00 | https://huggingface.co/datasets/14kwonss/test | 14kwonss | 2025-02-28T21:51:11.000Z | 2025-02-28T21:51:12.000Z | 829c7cda8b99ab2ea0783e20a094c2ccf071e112 | null | [
"license:cc-by-nc-nd-4.0",
"region:us"
] | cc-by-nc-nd-4.0 | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"67c22fcff9bf81f24c9f9032","author":"14kwonss","cardData":{"license":"cc-by-nc-nd-4.0"},"createdAt":"2025-02-28T21:51:11.000Z","downloads":3,"gated":false,"id":"14kwonss/test","lastModified":"2025-02-28T21:51:12.000Z","likes":0,"private":false,"sha":"829c7cda8b99ab2ea0783e20a094c2ccf071e112","tags":["license:cc-... |
dataset | 14kwonss/umuganda_ful | null | dataset:14kwonss/umuganda_ful | 2026-09-26T22:02:32.013094+00:00 | https://huggingface.co/datasets/14kwonss/umuganda_ful | 14kwonss | 2025-08-14T16:19:38.000Z | 2025-08-14T16:22:12.000Z | 1279fb4b87a4dae05f79b2beef3e6c2281967a90 | null | [
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"modality:tabular",
"modality:text",
"region:us",
"size_categories:100K<n<1M"
] | null | null | null | null | 7 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"689e0c9a88d0dc6643f0407d","author":"14kwonss","createdAt":"2025-08-14T16:19:38.000Z","downloads":7,"gated":false,"id":"14kwonss/umuganda_ful","lastModified":"2025-08-14T16:22:12.000Z","likes":0,"private":false,"sha":"1279fb4b87a4dae05f79b2beef3e6c2281967a90","tags":["size_categories:100K<n<1M","format:parquet",... |
dataset | 14m41/sendbox | null | dataset:14m41/sendbox | 2026-09-26T21:58:51.729791+00:00 | https://huggingface.co/datasets/14m41/sendbox | 14m41 | 2024-06-03T13:43:29.000Z | 2024-06-03T15:29:01.000Z | e891a6bcc88663cdfb4a29ac427209151267adcf | null | [
"format:json",
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"license:apache-2.0",
"modality:text",
"region:us",
"size_categories:n<1K"
] | apache-2.0 | null | null | null | 4 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"665dc8810eb022e536f16b82","author":"14m41","cardData":{"license":"apache-2.0"},"createdAt":"2024-06-03T13:43:29.000Z","downloads":4,"gated":false,"id":"14m41/sendbox","lastModified":"2024-06-03T15:29:01.000Z","likes":0,"private":false,"sha":"e891a6bcc88663cdfb4a29ac427209151267adcf","tags":["license:apache-2.0"... |
dataset | 14m41/style1000 | null | dataset:14m41/style1000 | 2026-09-26T22:03:11.010264+00:00 | https://huggingface.co/datasets/14m41/style1000 | 14m41 | 2025-10-17T12:37:05.000Z | 2026-01-12T16:13:59.000Z | 6defdd294c5a19183317026bef09a88792ebe7f1 | null | [
"region:us"
] | null | null | null | null | 27 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"68f23871abf990258c53ed20","author":"14m41","createdAt":"2025-10-17T12:37:05.000Z","downloads":27,"gated":false,"id":"14m41/style1000","lastModified":"2026-01-12T16:13:59.000Z","likes":1,"private":false,"sha":"6defdd294c5a19183317026bef09a88792ebe7f1","tags":["region:us"]} |
dataset | 14x6dy/Myrepository | null | dataset:14x6dy/Myrepository | 2026-09-26T21:58:22.297855+00:00 | https://huggingface.co/datasets/14x6dy/Myrepository | 14x6dy | 2023-12-11T15:12:52.000Z | 2023-12-11T15:12:52.000Z | 7d85c4477803562850577da92a119819908eff99 | null | [
"region:us"
] | null | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"657726f48869730b2273a68a","author":"14x6dy","createdAt":"2023-12-11T15:12:52.000Z","downloads":3,"gated":false,"id":"14x6dy/Myrepository","lastModified":"2023-12-11T15:12:52.000Z","likes":0,"private":false,"sha":"7d85c4477803562850577da92a119819908eff99","tags":["region:us"]} |
dataset | 14xp/ablation_data | null | dataset:14xp/ablation_data | 2026-09-26T22:00:19.266870+00:00 | https://huggingface.co/datasets/14xp/ablation_data | 14xp | 2025-05-08T15:16:54.000Z | 2025-07-29T21:46:30.000Z | 98317307198c1440f6c4c3aee6af9b6a5f87f7dc | null | [
"region:us"
] | null | null | null | null | 4 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"681ccae69f01c5198e79d24c","author":"14xp","createdAt":"2025-05-08T15:16:54.000Z","downloads":4,"gated":false,"id":"14xp/ablation_data","lastModified":"2025-07-29T21:46:30.000Z","likes":0,"private":false,"sha":"98317307198c1440f6c4c3aee6af9b6a5f87f7dc","tags":["region:us"]} |
dataset | 14xp/attribution_data | null | dataset:14xp/attribution_data | 2026-09-26T22:02:22.619521+00:00 | https://huggingface.co/datasets/14xp/attribution_data | 14xp | 2025-07-29T13:53:40.000Z | 2025-07-29T14:03:38.000Z | 7a3a8f81783118eef9727cd0796e65082a69ddbc | null | [
"region:us"
] | null | null | null | null | 4 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6888d2645daecd05ab94db23","author":"14xp","createdAt":"2025-07-29T13:53:40.000Z","downloads":4,"gated":false,"id":"14xp/attribution_data","lastModified":"2025-07-29T14:03:38.000Z","likes":0,"private":false,"sha":"7a3a8f81783118eef9727cd0796e65082a69ddbc","tags":["region:us"]} |
dataset | 14xp/gpt2_ablation_data | null | dataset:14xp/gpt2_ablation_data | 2026-09-26T22:02:22.987548+00:00 | https://huggingface.co/datasets/14xp/gpt2_ablation_data | 14xp | 2025-07-30T01:26:30.000Z | 2025-07-30T01:35:43.000Z | 4d2c89e1edf09c5949656e1052bb34c80f937123 | GPT-2 Ablation Data
This dataset contains gradient magnitude data from GPT-2 model ablation experiments, specifically focusing on different gradient computation methods and block configurations.
Dataset Structure
The dataset contains two main directories:
1. gpt2_gradient_staircase_jblock_3P_1M/
... | [
"region:us"
] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"688974c6bb1ab7aa16e3f7e1","author":"14xp","createdAt":"2025-07-30T01:26:30.000Z","description":"\n\t\n\t\t\n\t\tGPT-2 Ablation Data\n\t\n\nThis dataset contains gradient magnitude data from GPT-2 model ablation experiments, specifically focusing on different gradient computation methods and block configurations... |
dataset | 1500apps/fpfmt | null | dataset:1500apps/fpfmt | 2026-09-26T22:05:04.859049+00:00 | https://huggingface.co/datasets/1500apps/fpfmt | 1500apps | 2026-02-20T02:53:28.000Z | 2026-02-20T02:53:28.000Z | 15480b53ab312ba2ccd7b6a2ed4a04d3922b4d7c | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6997cca88b941289e4d23fc7","author":"1500apps","createdAt":"2026-02-20T02:53:28.000Z","downloads":1,"gated":false,"id":"1500apps/fpfmt","lastModified":"2026-02-20T02:53:28.000Z","likes":0,"private":false,"sha":"15480b53ab312ba2ccd7b6a2ed4a04d3922b4d7c","tags":["region:us"]} |
dataset | 1505annie/RSCC | null | dataset:1505annie/RSCC | 2026-09-26T22:21:55.970071+00:00 | https://huggingface.co/datasets/1505annie/RSCC | 1505annie | 2026-09-11T01:29:54.000Z | 2026-09-11T01:29:57.000Z | 3637a6be0d18e3b6e79f42e1e803fcdc28c9d7c9 | RSCC
[!IMPORTANT]
We found a great number of people are encountering the issue of accessing to our RSCC subset (see Issue #6). Therefore, we release this subset via GoogleDrive, you can download from this link.
[!WARNING]
The user should strictly obey the xBD License. Also, we (RSCC Team) highlight the distributi... | [
"arxiv:2509.01907",
"language:en",
"license:cc-by-4.0",
"modality:image",
"modality:text",
"region:us",
"remote sensing",
"size_categories:10K<n<100K",
"task_categories:image-to-text",
"temporal image understanding",
"vision-language models"
] | cc-by-4.0 | null | null | null | 102 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6aa35992afd63bcc30180cf8","author":"1505annie","cardData":{"configs":[{"config_name":"benchmark","data_files":[{"path":"RSCC_qvq.jsonl","split":"benchmark"}]},{"config_name":"EBD","data_files":[{"path":["EBD/EBD.tar.gz-part-0","EBD/EBD.tar.gz-part-1","EBD/EBD.tar.gz-part-2","EBD/EBD.tar.gz-part-3","EBD/EBD.tar.... |
dataset | 1509cxt/GDF86K | null | dataset:1509cxt/GDF86K | 2026-09-26T21:59:57.871260+00:00 | https://huggingface.co/datasets/1509cxt/GDF86K | 1509cxt | 2025-03-19T16:38:32.000Z | 2025-03-19T16:39:42.000Z | a20914ba7f1dc018e6e5ba155a3b7f3a94e9ae74 | null | [
"format:json",
"library:dask",
"library:datasets",
"library:mlcroissant",
"license:apache-2.0",
"modality:text",
"region:us",
"size_categories:100K<n<1M"
] | apache-2.0 | null | null | null | 10 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"67daf308f7c76abb7a64173b","author":"1509cxt","cardData":{"license":"apache-2.0"},"createdAt":"2025-03-19T16:38:32.000Z","downloads":10,"gated":false,"id":"1509cxt/GDF86K","lastModified":"2025-03-19T16:39:42.000Z","likes":0,"private":false,"sha":"a20914ba7f1dc018e6e5ba155a3b7f3a94e9ae74","tags":["license:apache-... |
dataset | 1510jeet/finetuning_dataset | null | dataset:1510jeet/finetuning_dataset | 2026-09-26T21:58:56.942697+00:00 | https://huggingface.co/datasets/1510jeet/finetuning_dataset | 1510jeet | 2024-07-01T13:34:18.000Z | 2024-07-01T13:37:34.000Z | aea5a7e2364f786be526451e85b7be9bfca52ce9 | null | [
"format:audiofolder",
"library:datasets",
"library:mlcroissant",
"modality:audio",
"modality:text",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 1 | 0 | auto | false | [] | base_model | [] | [] | [] | {"_id":"6682b05ad8841593841db4d1","author":"1510jeet","createdAt":"2024-07-01T13:34:18.000Z","downloads":1,"gated":"auto","id":"1510jeet/finetuning_dataset","lastModified":"2024-07-01T13:37:34.000Z","likes":0,"private":false,"sha":"aea5a7e2364f786be526451e85b7be9bfca52ce9","tags":["size_categories:n<1K","format:audiofo... |
dataset | 1516163com/img | null | dataset:1516163com/img | 2026-09-26T22:21:49.124021+00:00 | https://huggingface.co/datasets/1516163com/img | 1516163com | 2026-08-28T12:22:51.000Z | 2026-09-24T18:32:25.000Z | ef6662d0e3a39d13aa7f78ca423ead99d80719d4 | null | [
"format:imagefolder",
"library:datasets",
"library:mlcroissant",
"modality:image",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 544 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a917d9baa9e9d9e0d1efdf9","author":"1516163com","createdAt":"2026-08-28T12:22:51.000Z","downloads":544,"gated":false,"id":"1516163com/img","lastModified":"2026-09-24T18:32:25.000Z","likes":0,"private":false,"sha":"ef6662d0e3a39d13aa7f78ca423ead99d80719d4","tags":["size_categories:n<1K","format:imagefolder","mod... |
dataset | 152334H/tinystories | null | dataset:152334H/tinystories | 2026-09-26T21:58:14.757391+00:00 | https://huggingface.co/datasets/152334H/tinystories | 152334H | 2023-09-07T16:34:36.000Z | 2023-09-07T16:38:23.000Z | 82ad78ab2bc507b8609e93a5c5cf38c555d59236 | null | [
"license:mit",
"region:us"
] | mit | null | null | null | 738 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"64f9fb9c8c21ebb3db474843","author":"152334H","cardData":{"license":"mit"},"createdAt":"2023-09-07T16:34:36.000Z","downloads":738,"gated":false,"id":"152334H/tinystories","lastModified":"2023-09-07T16:38:23.000Z","likes":1,"private":false,"sha":"82ad78ab2bc507b8609e93a5c5cf38c555d59236","tags":["license:mit","re... |
dataset | 152milk152/QA-Dataset-mini | null | dataset:152milk152/QA-Dataset-mini | 2026-09-26T22:20:40.353234+00:00 | https://huggingface.co/datasets/152milk152/QA-Dataset-mini | 152milk152 | 2026-04-10T05:29:07.000Z | 2026-04-10T05:29:13.000Z | 21be55b4237dac07b8781b15acfb2e7afea38f69 | null | [
"format:optimized-parquet",
"format:parquet",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 4 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69d88aa36953ccc568ebecdd","author":"152milk152","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":9520,"download_size":9025,"features":[{"dtype":"string","name":"instruction"},{"dtype":"string","name":"input"},{"dtype":"string... |
dataset | 156816SAFE/image-bed | null | dataset:156816SAFE/image-bed | 2026-09-26T22:21:55.205771+00:00 | https://huggingface.co/datasets/156816SAFE/image-bed | 156816SAFE | 2026-09-09T11:22:00.000Z | 2026-09-25T07:54:08.000Z | 80d44f07c9b0c9d8edfdf2f517b42bb5052f0116 | null | [
"format:imagefolder",
"library:datasets",
"library:mlcroissant",
"modality:image",
"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 3,701 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6aa14158ab2041ff08105892","author":"156816SAFE","createdAt":"2026-09-09T11:22:00.000Z","downloads":3701,"gated":false,"id":"156816SAFE/image-bed","lastModified":"2026-09-25T07:54:08.000Z","likes":0,"private":false,"sha":"80d44f07c9b0c9d8edfdf2f517b42bb5052f0116","tags":["size_categories:1K<n<10K","format:imagef... |
dataset | 15952569848cx/segmentation | null | dataset:15952569848cx/segmentation | 2026-09-26T22:21:39.186301+00:00 | https://huggingface.co/datasets/15952569848cx/segmentation | 15952569848cx | 2026-08-08T02:28:41.000Z | 2026-08-08T02:28:41.000Z | 800687118fa24b4bb49e0b429961c65432a0a09b | LabOS Segmentation Dataset
A curated instance segmentation dataset of laboratory equipment that foundation models typically struggle with, and used the following to cover their gaps for LabOS tasks — including vortex genies, eppendorf tubes, multi-tube racks, colored caps, and fine-grained sub-parts like rack holes,... | [
"license:cc-by-nc-4.0",
"region:us"
] | cc-by-nc-4.0 | null | null | null | 31 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a769459555aee2161bb92ae","author":"15952569848cx","cardData":{"license":"cc-by-nc-4.0"},"createdAt":"2026-08-08T02:28:41.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tLabOS Segmentation Dataset\n\t\n\nA curated instance segmentation dataset of laboratory equipment that foundation models typically struggle with,... |
dataset | 15985732665qqcom/MobilityBench | null | dataset:15985732665qqcom/MobilityBench | 2026-09-26T22:20:34.247049+00:00 | https://huggingface.co/datasets/15985732665qqcom/MobilityBench | 15985732665qqcom | 2026-03-24T15:34:39.000Z | 2026-03-24T15:34:39.000Z | fad2af6493ff03bac94f58917f4b124a39bdbd88 | Note: This work is currently under review. The full dataset will be released progressively.
MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios
Paper | GitHub
MobilityBench is a scalable benchmark for evaluating route-planning agents in real-world mobility scenar... | [
"Agent",
"Benchmark",
"Route-Planning",
"arxiv:2602.22638",
"format:csv",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:tabular",
"modality:text",
"region:us",
"size_categories:10K<n<100K",
"task_categories:question-answering"
] | null | null | null | null | 25 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69c2af0fdae62d7faddefd23","author":"15985732665qqcom","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"datasets/all_data_benchmark_50000.csv","split":"query"}]}],"size_categories":["50K<n<100K"],"tags":["Agent","Benchmark","Route-Planning"],"task_categories":["question-answering"]},"create... |
dataset | 15boehler/system-universe | null | dataset:15boehler/system-universe | 2026-09-26T22:21:18.369928+00:00 | https://huggingface.co/datasets/15boehler/system-universe | 15boehler | 2026-06-19T17:24:49.000Z | 2026-06-19T17:24:53.000Z | 216ed924194710e4bf4ecf4eb9b32b63da04b93a | System-Universe
Made with ❤️ using 🦥 Unsloth Studio
System Universe was generated with Unsloth Recipe Studio. It contains 500 generated records.
🚀 Quick Start
from datasets import load_dataset
# Load the main dataset
dataset = load_dataset("15boehler/system-universe", "data", split="train")
df = d... | [
"datadesigner",
"format:parquet",
"library:datadesigner",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:n<1K",
"synthetic"
] | null | null | null | null | 27 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a357b61b22e71da5a1b0b7a","author":"15boehler","cardData":{"configs":[{"config_name":"data","data_files":"data/*.parquet","default":true}],"size_categories":"n<1K","tags":["synthetic","datadesigner"]},"createdAt":"2026-06-19T17:24:49.000Z","description":"\nSystem-Universe\nMade with \u2764\ufe0f using \ud83e\ud... |
dataset | 15crickets/commonSenseWithExplications | null | dataset:15crickets/commonSenseWithExplications | 2026-09-26T22:00:40.309170+00:00 | https://huggingface.co/datasets/15crickets/commonSenseWithExplications | 15crickets | 2025-06-27T18:13:01.000Z | 2025-07-01T05:37:27.000Z | 5fe5b83a3f96c62ab9e56c2b1143aeae7731512e | null | [
"format:csv",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 7 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"685edf2d34aa22db4d98f10b","author":"15crickets","createdAt":"2025-06-27T18:13:01.000Z","downloads":7,"gated":false,"id":"15crickets/commonSenseWithExplications","lastModified":"2025-07-01T05:37:27.000Z","likes":0,"private":false,"sha":"5fe5b83a3f96c62ab9e56c2b1143aeae7731512e","tags":["size_categories:n<1K","fo... |
dataset | 15crickets/commonSenseWithExplicationsAndEmbedding | null | dataset:15crickets/commonSenseWithExplicationsAndEmbedding | 2026-09-26T22:00:42.779887+00:00 | https://huggingface.co/datasets/15crickets/commonSenseWithExplicationsAndEmbedding | 15crickets | 2025-07-01T21:46:35.000Z | 2025-07-01T22:04:02.000Z | c959dbccb4e818ea1c5b5c51f13526a2552cdf1a | null | [
"format:csv",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 5 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6864573b85ba59efe89a9032","author":"15crickets","createdAt":"2025-07-01T21:46:35.000Z","downloads":5,"gated":false,"id":"15crickets/commonSenseWithExplicationsAndEmbedding","lastModified":"2025-07-01T22:04:02.000Z","likes":0,"private":false,"sha":"c959dbccb4e818ea1c5b5c51f13526a2552cdf1a","tags":["size_categori... |
dataset | 15juneee/agriculture-advisor-adapted-multilingual-v1 | null | dataset:15juneee/agriculture-advisor-adapted-multilingual-v1 | 2026-09-26T22:21:40.532109+00:00 | https://huggingface.co/datasets/15juneee/agriculture-advisor-adapted-multilingual-v1 | 15juneee | 2026-08-10T18:50:39.000Z | 2026-08-10T18:51:14.000Z | a122a4ea83bfb33dc07ba017b2be685a24af50d8 | Agriculture Advisor (Adaption-adapted, multilingual) v1
The adapted dataset used to fine-tune our agricultural advisory, localised model for the
Adaption AutoScientist Challenge.
Produced by running 15juneee/agriculture-advisor-seed-v1 through
Adaption's datasets.run. The seed carries the prompts and the curation; t... | [
"adapted-dataset",
"adaption-autoscientist",
"format:json",
"language:en",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:cc-by-4.0",
"modality:text",
"region:us",
"size_categories:10K<n<100K",
"task_categories:question-answering",
"task_categories:... | cc-by-4.0 | null | null | null | 21 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a7a1d7f771a15bc171c1974","author":"15juneee","cardData":{"language":["en"],"license":"cc-by-4.0","size_categories":["1K<n<10K"],"tags":["adaption-autoscientist","adapted-dataset"],"task_categories":["question-answering","text-generation"]},"createdAt":"2026-08-10T18:50:39.000Z","description":"\n\t\n\t\t\n\t\n\... |
dataset | 15juneee/agriculture-advisor-adapted-v1 | null | dataset:15juneee/agriculture-advisor-adapted-v1 | 2026-09-26T22:21:41.518998+00:00 | https://huggingface.co/datasets/15juneee/agriculture-advisor-adapted-v1 | 15juneee | 2026-08-12T01:58:25.000Z | 2026-08-12T01:58:52.000Z | 7d5ccaec2fc21bd15b33ac1635d96f6b0cff0824 | Agriculture Advisor (Adaption-adapted) v1
The adapted dataset used to fine-tune our agricultural advisory model for the
Adaption AutoScientist Challenge.
Produced by running 15juneee/agriculture-advisor-seed-v1 through
Adaption's datasets.run. The seed carries the prompts and the curation; this carries
the completio... | [
"adapted-dataset",
"adaption-autoscientist",
"format:json",
"language:en",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:cc-by-4.0",
"modality:text",
"region:us",
"size_categories:10K<n<100K",
"task_categories:question-answering",
"task_categories:... | cc-by-4.0 | null | null | null | 50 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a7bd341b9eadaef739da488","author":"15juneee","cardData":{"language":["en"],"license":"cc-by-4.0","size_categories":["1K<n<10K"],"tags":["adaption-autoscientist","adapted-dataset"],"task_categories":["question-answering","text-generation"]},"createdAt":"2026-08-12T01:58:25.000Z","description":"\n\t\n\t\t\n\t\n\... |
dataset | 15juneee/agriculture-advisor-seed-v1 | null | dataset:15juneee/agriculture-advisor-seed-v1 | 2026-09-26T22:21:39.545745+00:00 | https://huggingface.co/datasets/15juneee/agriculture-advisor-seed-v1 | 15juneee | 2026-08-08T09:18:01.000Z | 2026-08-08T09:43:07.000Z | 4fa85b7f70049c5e5bf88e2bfabc349640c25971 | Agriculture Advisor Seed (v2)
A curated instruction-tuning seed for agricultural advisory models, built for the
Adaption AutoScientist Challenge
(Part 2, Agriculture track).
13,543 training rows + 450 held-out evaluation rows. 91% carry a real completion;
median completion length is 1,236 characters.
Wha... | [
"adaption-autoscientist",
"agriculture",
"agronomy",
"farmer-advisory",
"format:json",
"language:en",
"library:dask",
"library:datasets",
"library:mlcroissant",
"library:polars",
"license:cc-by-4.0",
"modality:text",
"region:us",
"size_categories:10K<n<100K",
"task_categories:question-an... | cc-by-4.0 | null | null | null | 47 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a76f44947857875dfbbbceb","author":"15juneee","cardData":{"language":["en"],"license":"cc-by-4.0","size_categories":["10K<n<100K"],"tags":["agriculture","agronomy","farmer-advisory","adaption-autoscientist"],"task_categories":["question-answering","text-generation"]},"createdAt":"2026-08-08T09:18:01.000Z","desc... |
dataset | 15juneee/hr-practitioner-adapted-v1 | null | dataset:15juneee/hr-practitioner-adapted-v1 | 2026-09-26T22:21:40.003977+00:00 | https://huggingface.co/datasets/15juneee/hr-practitioner-adapted-v1 | 15juneee | 2026-08-09T18:36:11.000Z | 2026-08-09T18:36:18.000Z | d42235863c3e1553f13a024c2333b8c26692ef78 | HR Practitioner (Adaption-adapted) v1
The adapted dataset used to fine-tune our HR and people operations model for the
Adaption AutoScientist Challenge.
Produced by running 15juneee/hr-practitioner-seed-v1 through
Adaption's datasets.run. The seed carries the prompts and the curation; this carries
the completions th... | [
"adapted-dataset",
"adaption-autoscientist",
"format:json",
"language:en",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:cc-by-4.0",
"modality:text",
"region:us",
"size_categories:1K<n<10K",
"task_categories:question-answering",
"task_categories:te... | cc-by-4.0 | null | null | null | 22 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a78c89b7e4e34d640188814","author":"15juneee","cardData":{"language":["en"],"license":"cc-by-4.0","size_categories":["1K<n<10K"],"tags":["adaption-autoscientist","adapted-dataset"],"task_categories":["question-answering","text-generation"]},"createdAt":"2026-08-09T18:36:11.000Z","description":"\n\t\n\t\t\n\t\n\... |
dataset | 15juneee/hr-practitioner-seed-v1 | null | dataset:15juneee/hr-practitioner-seed-v1 | 2026-09-26T22:21:39.545745+00:00 | https://huggingface.co/datasets/15juneee/hr-practitioner-seed-v1 | 15juneee | 2026-08-08T09:18:11.000Z | 2026-08-08T10:28:43.000Z | bc6c01abc9e2cabbb2d8105474d29f71f8afac51 | HR Practitioner Seed (v2)
A curated instruction-tuning seed for HR and recruiting assistants, built for the
Adaption AutoScientist Challenge
(Part 2, HR track).
3,059 training rows + 244 held-out evaluation rows.
What this is
Group
Rows
Notes
Grounded recruiting tasks
~2,692
real job advert... | [
"adaption-autoscientist",
"format:json",
"hr",
"human-resources",
"language:en",
"library:dask",
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"library:polars",
"license:apache-2.0",
"modality:text",
"recruiting",
"region:us",
"size_categories:1K<n<10K",
"task_categories:question-answering"... | apache-2.0 | null | null | null | 30 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a76f4532401cdd54a8e1121","author":"15juneee","cardData":{"language":["en"],"license":"apache-2.0","size_categories":["1K<n<10K"],"tags":["hr","human-resources","recruiting","adaption-autoscientist"],"task_categories":["question-answering","text-generation"]},"createdAt":"2026-08-08T09:18:11.000Z","description"... |
dataset | 15juneee/pressure-bench-questions-v1 | null | dataset:15juneee/pressure-bench-questions-v1 | 2026-09-26T22:20:51.282584+00:00 | https://huggingface.co/datasets/15juneee/pressure-bench-questions-v1 | 15juneee | 2026-05-02T11:14:40.000Z | 2026-05-02T11:14:43.000Z | 2eaca3b7600928284ecf5a68552d0754fad432eb | pressure-bench-questions-v1
GPQA-Diamond questions used in the pressure-bench confirmatory study.
194 questions across physics and chemistry subdomains.
Schema
Column
Type
Description
qid
string
Unique question ID
domain
string
Broad domain (physics, chemistry)
subdomain
string
Fine-grained... | [
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"pressure-bench",
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"size_categories:n<1K",
"sycophancy",
"task_categories:question-answering"
] | cc-by-4.0 | null | null | null | 21 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69f5dca03b1c28c09112cd29","author":"15juneee","cardData":{"language":["en"],"license":"cc-by-4.0","tags":["llm-eval","sycophancy","gpqa","pressure-bench"],"task_categories":["question-answering"]},"createdAt":"2026-05-02T11:14:40.000Z","description":"\n\t\n\t\t\n\t\tpressure-bench-questions-v1\n\t\n\nGPQA-Diamo... |
dataset | 15juneee/pressure-bench-results-v1 | null | dataset:15juneee/pressure-bench-results-v1 | 2026-09-26T22:20:51.282584+00:00 | https://huggingface.co/datasets/15juneee/pressure-bench-results-v1 | 15juneee | 2026-05-02T11:14:43.000Z | 2026-05-02T11:14:46.000Z | f7722f4daf6a8bd9fa636613d6a7c5c206d4326b | pressure-bench-results-v1
Full trial-level results from the pressure-bench confirmatory study.
Model: gemini-2.5-flash · 1,320 rows · 44 unique questions × 10 repeats × 3 conditions.
Headline accuracy table
Condition
Accuracy
direct
90.5%
reasoning_first
83.2%
hard_misleading (expert author... | [
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"pressure-bench",
"region:us",
"size_categories:1K<n<10K",
"sycophancy",
"task_categories:questi... | cc-by-4.0 | null | null | null | 8 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69f5dca3f1b2e7e217602f2a","author":"15juneee","cardData":{"language":["en"],"license":"cc-by-4.0","tags":["llm-eval","sycophancy","gpqa","pressure-bench"],"task_categories":["question-answering"]},"createdAt":"2026-05-02T11:14:43.000Z","description":"\n\t\n\t\t\n\t\tpressure-bench-results-v1\n\t\n\nFull trial-l... |
dataset | 15juneee/romanian-corpus | null | dataset:15juneee/romanian-corpus | 2026-09-26T22:20:38.379913+00:00 | https://huggingface.co/datasets/15juneee/romanian-corpus | 15juneee | 2026-04-04T20:55:31.000Z | 2026-04-05T18:03:30.000Z | 58cdc20bad4798195a9f3819aa0d095ab5ffb526 | Romanian Text Corpus
A comprehensive, high-quality Romanian text corpus for language model pretraining.
Built by collecting and cleaning text from five Romanian-language sources.
Dataset Summary
Total documents: 19,886,412
Estimated tokens: ~20.8B
Language: Romanian (ro)
Format: Parquet (zstd compressed)... | [
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"multilinguality:monolingual",
"pretraining",
"region:us",
"romanian",
"size_categories:10M<n<100M",
"source_datasets:uonlp/CulturaX",
"source_d... | other | null | null | null | 911 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"69d17ac3f3cdfe2036d8c2cb","author":"15juneee","cardData":{"configs":[{"config_name":"all","data_files":"*/train/*.parquet","default":true},{"config_name":"wikipedia","data_files":"wikipedia/train/*.parquet"},{"config_name":"mC4","data_files":"mC4/train/*.parquet"},{"config_name":"OSCAR-2019","data_files":"OSCAR... |
dataset | 15karina/dataset | null | dataset:15karina/dataset | 2026-09-26T21:59:43.273980+00:00 | https://huggingface.co/datasets/15karina/dataset | 15karina | 2025-02-11T15:59:52.000Z | 2025-02-11T15:59:53.000Z | 52d1a43270990f54363eb811a0a4b2ee667aac23 | null | [
"format:parquet",
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"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"67ab73f81c4feba2b1a68cc0","author":"15karina","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":2723,"download_size":6454,"features":[{"dtype":"string","name":"text"},{"name":"nltk_pos","sequence":{"sequence":"string"}},{"name... |
dataset | 15luna/whisper-train-dataset | null | dataset:15luna/whisper-train-dataset | 2026-09-26T22:05:02.011258+00:00 | https://huggingface.co/datasets/15luna/whisper-train-dataset | 15luna | 2026-02-16T06:43:24.000Z | 2026-02-16T09:45:06.000Z | 552be2c5083a78e743e9d886c898ede8a1c558c2 | null | [
"format:parquet",
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"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:audio",
"modality:text",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 5 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6992bc8c74d32695ca32a8cc","author":"15luna","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"},{"path":"data/validation-*","split":"validation"}]}],"dataset_info":{"dataset_size":33770326,"download_size":27151449,"features":[{"dtype":{"audio":{"sampling_rate":1... |
dataset | 16-Bytes/banana | null | dataset:16-Bytes/banana | 2026-09-26T21:59:24.931934+00:00 | https://huggingface.co/datasets/16-Bytes/banana | 16-Bytes | 2024-11-26T14:34:11.000Z | 2024-11-26T14:38:01.000Z | 94bb0ad98578257053bab7973bd60ced5ba632bb | null | [
"region:us"
] | null | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6745dc630b5be823113558be","author":"16-Bytes","createdAt":"2024-11-26T14:34:11.000Z","downloads":3,"gated":false,"id":"16-Bytes/banana","lastModified":"2024-11-26T14:38:01.000Z","likes":0,"private":false,"sha":"94bb0ad98578257053bab7973bd60ced5ba632bb","tags":["region:us"]} |
dataset | 1602353775wzj/CCPD | null | dataset:1602353775wzj/CCPD | 2026-09-26T22:03:18.741594+00:00 | https://huggingface.co/datasets/1602353775wzj/CCPD | 1602353775wzj | 2025-11-03T06:46:42.000Z | 2025-11-03T07:49:28.000Z | 2d2bdaed890e39e9016abc43c28d75bf6b14924d | 📜 CCPD - 古典中文诗歌多标签分类数据集
数据集描述
CCPD (Classical Chinese Poetry Dataset) 是一个包含多标签标注的古典中文诗歌数据集，专门用于诗歌主题和情感的多标签分类研究。
数据集详情
🔗 原始数据集链接
GitHub 仓库: https://github.com/yuting-wei/CCPD
🏷️ 基本信息
诗歌数量: 17103 首
主题标签数量: 10 个
情感标签数量: 13 个
数据划分: 全部作为训练集
📝 数据格式说明
原始数据格式为：`主... | [
"art",
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"language:zh",
"library:datasets",
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"library:polars",
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"modality:text",
"region:us",
"size_categories:10K<n<100K",
"task_categories:text-classification"
] | cc-by-4.0 | null | null | null | 24 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69084fd255157050edd5eaf7","author":"1602353775wzj","cardData":{"language":["zh"],"license":"cc-by-4.0","pretty_name":"Classical Chinese Poetry Dataset (CCPD)","size_categories":["10K<n<100K"],"tags":["art"],"task_categories":["text-classification"]},"createdAt":"2025-11-03T06:46:42.000Z","description":"\n\t\n\t... |
dataset | 1625387092abc/graph_reasoning | null | dataset:1625387092abc/graph_reasoning | 2026-09-26T22:00:06.157195+00:00 | https://huggingface.co/datasets/1625387092abc/graph_reasoning | 1625387092abc | 2025-04-11T17:47:53.000Z | 2025-04-11T17:47:53.000Z | d7e99fe46167d5696baba11036ff8f5e86cc4fa2 | null | [
"license:apache-2.0",
"region:us"
] | apache-2.0 | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"67f955c9e0ea1c27b8074e62","author":"1625387092abc","cardData":{"license":"apache-2.0"},"createdAt":"2025-04-11T17:47:53.000Z","downloads":3,"gated":false,"id":"1625387092abc/graph_reasoning","lastModified":"2025-04-11T17:47:53.000Z","likes":0,"private":false,"sha":"d7e99fe46167d5696baba11036ff8f5e86cc4fa2","tag... |
dataset | 163wa/ImageSafetyDetector | null | dataset:163wa/ImageSafetyDetector | 2026-09-26T21:59:32.864869+00:00 | https://huggingface.co/datasets/163wa/ImageSafetyDetector | 163wa | 2025-01-03T17:38:11.000Z | 2026-09-09T03:57:34.000Z | 33c4486ad955a3c311ce555ffd4187d43709d86c | null | [
"format:imagefolder",
"library:datasets",
"library:mlcroissant",
"modality:image",
"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 184 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"67782083f7540db840bb95c3","author":"163wa","createdAt":"2025-01-03T17:38:11.000Z","downloads":184,"gated":false,"id":"163wa/ImageSafetyDetector","lastModified":"2026-09-09T03:57:34.000Z","likes":0,"private":false,"sha":"33c4486ad955a3c311ce555ffd4187d43709d86c","tags":["size_categories:1K<n<10K","format:imagefo... |
dataset | 168dn/MG2-Dataset | null | dataset:168dn/MG2-Dataset | 2026-09-26T22:20:47.539242+00:00 | https://huggingface.co/datasets/168dn/MG2-Dataset | 168dn | 2026-04-27T10:24:06.000Z | 2026-04-27T10:24:06.000Z | 7ee52b0e2e3f282b9b86173c4bdc21fa2f0b9612 | null | [
"license:mit",
"region:us"
] | mit | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69ef3946a37e99ea08e7d3f4","author":"168dn","cardData":{"license":"mit"},"createdAt":"2026-04-27T10:24:06.000Z","downloads":1,"gated":false,"id":"168dn/MG2-Dataset","lastModified":"2026-04-27T10:24:06.000Z","likes":0,"private":false,"sha":"7ee52b0e2e3f282b9b86173c4bdc21fa2f0b9612","tags":["license:mit","region:u... |
dataset | 168dn/MelodySet | null | dataset:168dn/MelodySet | 2026-09-26T22:20:45.614766+00:00 | https://huggingface.co/datasets/168dn/MelodySet | 168dn | 2026-04-22T13:19:31.000Z | 2026-04-22T13:19:31.000Z | f310eff1a32cad3809e34ddb494861b42716bf97 | null | [
"license:mit",
"modality:text",
"region:us"
] | mit | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69e8cae39151379303098d68","author":"168dn","cardData":{"license":"mit"},"createdAt":"2026-04-22T13:19:31.000Z","downloads":2,"gated":false,"id":"168dn/MelodySet","lastModified":"2026-04-22T13:19:31.000Z","likes":0,"private":false,"sha":"f310eff1a32cad3809e34ddb494861b42716bf97","tags":["license:mit","modality:t... |
dataset | 168mxie/mnemonic-qa-dataset | null | dataset:168mxie/mnemonic-qa-dataset | 2026-09-26T22:20:56.515507+00:00 | https://huggingface.co/datasets/168mxie/mnemonic-qa-dataset | 168mxie | 2026-05-11T19:46:36.000Z | 2026-05-11T19:46:40.000Z | 3aad4a5c0c1dd324131b82d091458c065f7b1dcb | null | [
"format:parquet",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"modality:text",
"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 277 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a02321c274ef11b52ad7134","author":"168mxie","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"},{"path":"data/validation-*","split":"validation"},{"path":"data/test-*","split":"test"}]}],"dataset_info":{"dataset_size":3649216,"download_size":1162810,"features":... |
dataset | 168sir/drill-core-image-dataset | null | dataset:168sir/drill-core-image-dataset | 2026-09-26T22:02:34.175674+00:00 | https://huggingface.co/datasets/168sir/drill-core-image-dataset | 168sir | 2025-08-19T17:51:20.000Z | 2025-08-19T18:31:51.000Z | fd8bc7999020120fc444a51c6e0d53e448ae6957 | Dataset Card for Drill Core Image Dataset (DCID)
Dataset Details
Dataset Description
The Drill Core Image Dataset (DCID) is a large-scale benchmark designed for lithology classification based on RGB core images. It provides two primary versions:
DCID-7: 7 lithology categories with 5,00... | [
"DCID",
"core images",
"drill core",
"format:imagefolder",
"geology",
"language:en",
"library:datasets",
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"license:cc-by-nc-4.0",
"lithology",
"lithology classification",
"lithology identification",
"modality:image",
"region:us",
"rock",
"size_categories:10K<n<100... | cc-by-nc-4.0 | null | null | null | 486 | 3 | false | false | [] | base_model | [] | [] | [] | {"_id":"68a4b998f90162bce9fe4800","author":"168sir","cardData":{"language":["en"],"license":"cc-by-nc-4.0","pretty_name":"Drill Core Image Dataset (DCID)","size_categories":["10K<n<100K"],"tags":["lithology","geology","rock","drill core","core images","lithology identification","lithology classification","DCID"],"task_... |
dataset | 169Pi/Science-QnA | null | dataset:169Pi/Science-QnA | 2026-09-26T21:59:11.114892+00:00 | https://huggingface.co/datasets/169Pi/Science-QnA | 169Pi | 2024-09-20T12:02:47.000Z | 2026-03-06T08:12:54.000Z | f248c08d7442ff133720b00f1cdbe4bb22042d74 | Science-QnA
The Science-QnA is a large-scale, high-quality science-focused dataset (~5.63M rows) curated using synthetic data generation through distillation techniques and select open-source resources. Designed to train and evaluate reasoning-capable models in science domains with emphasis on conceptual understandi... | [
"JEE",
"NCERT",
"NEET",
"biology",
"chemistry",
"competitive-exams",
"education",
"format:parquet",
"language:en",
"library:dask",
"library:datasets",
"library:mlcroissant",
"library:polars",
"license:apache-2.0",
"mathematics",
"modality:text",
"physics",
"reasoning",
"region:us... | apache-2.0 | null | null | null | 321 | 3 | false | false | [] | base_model | [] | [] | [] | {"_id":"66ed64672669c53cecb6e693","author":"169Pi","cardData":{"dataset_info":{"features":[{"dtype":"string","name":"prompt"},{"dtype":"string","name":"response"}],"splits":[{"name":"train","num_examples":5631061}]},"language":["en"],"license":"apache-2.0","paperswithcode_id":null,"pretty_name":"Science-QnA","size_cate... |
dataset | 169Pi/exambench | null | dataset:169Pi/exambench | 2026-09-26T22:02:37.629035+00:00 | https://huggingface.co/datasets/169Pi/exambench | 169Pi | 2025-08-26T08:08:19.000Z | 2025-09-21T15:39:52.000Z | b5f3d8b78263659bd6c440837117e7fa58577018 | ExamBench
The ExamBench Dataset (~600M tokens, 405k examples) is one of the largest open-source corpora designed for competitive exam preparation and reasoning AI. Generated using advanced distillation techniques, it combines structured chain-of-thought reasoning with comprehensive coverage of over 25 Indian and int... | [
"aptitude",
"banking",
"chain-of-thought",
"competitive-exams",
"defense",
"education",
"format:json",
"general-knowledge",
"gmat",
"gre",
"ielts",
"indian-exams",
"jee",
"language:en",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache... | apache-2.0 | null | null | null | 189 | 3 | false | false | [] | base_model | [] | [] | [] | {"_id":"68ad6b7399bbebd63be71320","author":"169Pi","cardData":{"dataset_info":{"features":[{"dtype":"string","name":"prompt"},{"dtype":"string","name":"complex_cot"},{"dtype":"string","name":"response"}],"splits":[{"name":"train","num_examples":405906}]},"language":["en"],"license":"apache-2.0","paperswithcode_id":null... |
dataset | 169Pi/indian_law | null | dataset:169Pi/indian_law | 2026-09-26T22:02:37.629035+00:00 | https://huggingface.co/datasets/169Pi/indian_law | 169Pi | 2025-08-26T08:34:16.000Z | 2026-03-06T08:22:57.000Z | cd04e005eee8483d3454303c41bd3bd9267035aa | Indian Law Dataset
The Indian Law Dataset is a high-quality, open-source dataset (~50M tokens) focused on Indian jurisprudence. It provides structured chain-of-thought reasoning traces across 10+ branches of law, enabling the training and evaluation of advanced reasoning-capable language models.
Summary
•... | [
"chain-of-thought",
"education",
"format:json",
"indian-law",
"jurisprudence",
"language:en",
"legal",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
"modality:text",
"open-source",
"reasoning",
"region:us",
"size_categories:10K<n... | apache-2.0 | null | null | null | 151 | 4 | false | false | [] | base_model | [] | [] | [] | {"_id":"68ad7188f2986eaf5a845b74","author":"169Pi","cardData":{"dataset_info":{"dataset_size":252869175,"download_size":258000000,"features":[{"dtype":"string","name":"prompt"},{"dtype":"string","name":"complex_cot"},{"dtype":"string","name":"response"}],"splits":[{"name":"train","num_bytes":252869175,"num_examples":47... |
dataset | 169Pi/indic_reasoning | null | dataset:169Pi/indic_reasoning | 2026-09-26T22:02:37.629035+00:00 | https://huggingface.co/datasets/169Pi/indic_reasoning | 169Pi | 2025-08-26T07:41:17.000Z | 2025-09-20T16:04:13.000Z | 3a72e42498957abbb5b4da5639298a1198e308dd | Indic Reasoning
The Indic Reasoning Dataset (~500M tokens, 592k examples) is a high-quality, large-scale open-source resource created using advanced distillation techniques. It is designed to train and evaluate reasoning-capable AI systems with a strong emphasis on complex reasoning, structured chain-of-thought (CoT... | [
"chain-of-thought",
"cultural-reasoning",
"distillation",
"education",
"format:json",
"historical-knowledge",
"indian-context",
"language:en",
"legal-reasoning",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
"modality:text",
"multi... | apache-2.0 | null | null | null | 49 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"68ad651d831c820a4de84aed","author":"169Pi","cardData":{"language":["en"],"license":"apache-2.0","paperswithcode_id":null,"pretty_name":"Indic Reasoning","size_categories":["100K<n<1M"],"tags":["reasoning","indian-context","multi-domain","chain-of-thought","cultural-reasoning","legal-reasoning","historical-knowl... |
dataset | 169Pi/mathreasoning | null | dataset:169Pi/mathreasoning | 2026-09-26T21:59:11.114892+00:00 | https://huggingface.co/datasets/169Pi/mathreasoning | 169Pi | 2024-09-20T11:45:14.000Z | 2025-09-22T16:56:47.000Z | 891803a596fffa085a662cbc0cfb8fca5c4f5fe5 | MathReasoning
The MathReasoning Dataset is a large-scale, high-quality dataset (~3.13M rows) focused on mathematics, logical reasoning, and problem-solving. It is primarily generated through synthetic distillation techniques, complemented by curated open-source educational content. The dataset is designed to train a... | [
"NCERT",
"advanced maths",
"chain-of-thought",
"competitive-exams",
"education",
"format:parquet",
"language:en",
"library:dask",
"library:datasets",
"library:mlcroissant",
"library:polars",
"license:apache-2.0",
"mathematics",
"modality:text",
"problem-solving",
"reasoning",
"region... | apache-2.0 | null | null | null | 153 | 6 | false | false | [] | base_model | [] | [] | [] | {"_id":"66ed604a57043bd5c8f28eb3","author":"169Pi","cardData":{"dataset_info":{"features":[{"dtype":"string","name":"prompt"},{"dtype":"string","name":"response"}],"splits":[{"name":"train","num_examples":3129768}]},"language":["en"],"license":"apache-2.0","paperswithcode_id":null,"pretty_name":"MathReasoning","size_ca... |
dataset | 169Pi/medical_psychology | null | dataset:169Pi/medical_psychology | 2026-09-26T22:02:38.013442+00:00 | https://huggingface.co/datasets/169Pi/medical_psychology | 169Pi | 2025-08-26T11:03:52.000Z | 2025-09-19T14:50:03.000Z | 23b2b004ac7f5a4dd15d342a5f428f490eb96e62 | Medical Psychology Dataset
The Medical Psychology Dataset is a specialised, comprehensive resource (~260M tokens, 296k examples) generated using advanced distillation techniques. It provides structured clinical and psychological reasoning traces with a strong emphasis on diagnostic processes, therapeutic approaches,... | [
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... | apache-2.0 | null | null | null | 44 | 3 | false | false | [] | base_model | [] | [] | [] | {"_id":"68ad9498c45b30d83dfecdab","author":"169Pi","cardData":{"dataset_info":{"features":[{"dtype":"string","name":"prompt"},{"dtype":"string","name":"complex_cot"},{"dtype":"string","name":"response"}],"splits":[{"name":"train","num_examples":296499}]},"language":["en"],"license":"apache-2.0","paperswithcode_id":null... |
dataset | 169Pi/non_reasoning_grpo | null | dataset:169Pi/non_reasoning_grpo | 2026-09-26T22:20:57.584310+00:00 | https://huggingface.co/datasets/169Pi/non_reasoning_grpo | 169Pi | 2026-05-14T06:13:29.000Z | 2026-05-14T06:13:38.000Z | 6cfffb09e7c26ad1ff171f58cefd811262a939a3 | null | [
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] | null | null | null | null | 16 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a0568094aa635cadce6fabf","author":"169Pi","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":103672146,"download_size":52570957,"features":[{"dtype":"string","name":"prompt"}],"splits":[{"name":"train","num_bytes":103672146,"n... |
dataset | 16dvnk/Spirit_Kings_Golden_Textbook | null | dataset:16dvnk/Spirit_Kings_Golden_Textbook | 2026-09-26T22:02:57.818734+00:00 | https://huggingface.co/datasets/16dvnk/Spirit_Kings_Golden_Textbook | 16dvnk | 2025-09-23T09:50:15.000Z | 2025-11-08T14:27:14.000Z | 0d2c4b1f55d2f6365290e00d9fdab5f382fc076f | About
This is a dataset about the Spirit Kings clan from the Mineberry Minecraft server. | [
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"tune"
] | cc0-1.0 | null | null | null | 17 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"68d26d57656e6fabc9ea1114","author":"16dvnk","cardData":{"language":["en"],"license":"cc0-1.0","size_categories":["10K<n<100K"],"tags":["tune"],"task_categories":["text-generation"]},"createdAt":"2025-09-23T09:50:15.000Z","description":"\n\t\n\t\t\n\t\tAbout\n\t\n\nThis is a dataset about the Spirit Kings clan f... |
dataset | 16lemoing/cvo | null | dataset:16lemoing/cvo | 2026-09-26T21:58:23.746502+00:00 | https://huggingface.co/datasets/16lemoing/cvo | 16lemoing | 2023-12-21T08:43:12.000Z | 2023-12-21T10:15:21.000Z | c8825f5c4617c2add622addd88fde9f54227e3ea | null | [
"license:mit",
"region:us"
] | mit | null | null | null | 27 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6583faa08a9e7f8694c38c33","author":"16lemoing","cardData":{"license":"mit"},"createdAt":"2023-12-21T08:43:12.000Z","downloads":27,"gated":false,"id":"16lemoing/cvo","lastModified":"2023-12-21T10:15:21.000Z","likes":0,"private":false,"sha":"c8825f5c4617c2add622addd88fde9f54227e3ea","tags":["license:mit","region:... |
dataset | 16lemoing/movi_f | null | dataset:16lemoing/movi_f | 2026-09-26T21:58:24.146207+00:00 | https://huggingface.co/datasets/16lemoing/movi_f | 16lemoing | 2023-12-26T11:14:13.000Z | 2023-12-26T16:58:08.000Z | 51f1b594bcee358f0d80b8d7d5ac78c7f832bc54 | null | [
"region:us"
] | null | null | null | null | 33 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"658ab58574d1a1cbd061a23e","author":"16lemoing","createdAt":"2023-12-26T11:14:13.000Z","downloads":33,"gated":false,"id":"16lemoing/movi_f","lastModified":"2023-12-26T16:58:08.000Z","likes":1,"private":false,"sha":"51f1b594bcee358f0d80b8d7d5ac78c7f832bc54","tags":["region:us"]} |
dataset | 16trait/dmvr-core-specification | null | dataset:16trait/dmvr-core-specification | 2026-09-26T22:21:20.719110+00:00 | https://huggingface.co/datasets/16trait/dmvr-core-specification | 16trait | 2026-06-26T07:18:47.000Z | 2026-06-26T07:20:09.000Z | c0c95d1f28ff43a006c3e019d4c2600e38cb599b | 16Trait.com Meta-Variant System™ (DMVR) Core Specification
Official Notice: This document/dataset is the permanently archived technical specification and operational data structure for the Meta-Variant System™ (DMVR) developed by 16Trait.
For the authoritative, live, and most recently updated versions of our resear... | [
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"task_categories:text-classification",
"zero-knowledge"
] | cc-by-4.0 | null | null | null | 15 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a3e27d7da68260ce522e6ba","author":"16trait","cardData":{"license":"cc-by-4.0","tags":["psychometrics","cognitive-architecture","explainable-ai","zero-knowledge","MBTI","organizational-behavior"],"task_categories":["tabular-classification","text-classification"]},"createdAt":"2026-06-26T07:18:47.000Z","descript... |
dataset | 16vanish/cc3m_syn | null | dataset:16vanish/cc3m_syn | 2026-09-26T21:59:47.343697+00:00 | https://huggingface.co/datasets/16vanish/cc3m_syn | 16vanish | 2025-02-25T09:07:42.000Z | 2025-02-25T09:07:42.000Z | b4b5acb9b2412434518c7c9c862f223d21b7bcc1 | null | [
"license:apache-2.0",
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] | apache-2.0 | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"67bd885e9476b68320f474b1","author":"16vanish","cardData":{"license":"apache-2.0"},"createdAt":"2025-02-25T09:07:42.000Z","downloads":1,"gated":false,"id":"16vanish/cc3m_syn","lastModified":"2025-02-25T09:07:42.000Z","likes":0,"private":false,"sha":"b4b5acb9b2412434518c7c9c862f223d21b7bcc1","tags":["license:apac... |
dataset | 171kool/pest | null | dataset:171kool/pest | 2026-09-26T21:58:15.061542+00:00 | https://huggingface.co/datasets/171kool/pest | 171kool | 2023-09-13T08:40:38.000Z | 2023-09-13T08:41:15.000Z | 23fa17f51efb94840c100c56d0bea13dd5c5f8b2 | null | [
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] | null | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"650175864b7e0cd1b7fa5748","author":"171kool","createdAt":"2023-09-13T08:40:38.000Z","downloads":3,"gated":false,"id":"171kool/pest","lastModified":"2023-09-13T08:41:15.000Z","likes":0,"private":false,"sha":"23fa17f51efb94840c100c56d0bea13dd5c5f8b2","tags":["size_categories:1K<n<10K","format:csv","modality:text"... |
dataset | 1726tgyeuva/lima_preference | null | dataset:1726tgyeuva/lima_preference | 2026-09-26T22:20:47.214717+00:00 | https://huggingface.co/datasets/1726tgyeuva/lima_preference | 1726tgyeuva | 2026-04-26T16:52:22.000Z | 2026-04-26T16:54:05.000Z | 5823b3d4331d45652962201e42ed4a90b7d3f4ca | null | [
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] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69ee42c6debd7e7a90ecb6d9","author":"1726tgyeuva","createdAt":"2026-04-26T16:52:22.000Z","downloads":2,"gated":false,"id":"1726tgyeuva/lima_preference","lastModified":"2026-04-26T16:54:05.000Z","likes":0,"private":false,"sha":"5823b3d4331d45652962201e42ed4a90b7d3f4ca","tags":["size_categories:n<1K","format:json"... |
dataset | 1726tgyeuva/lima_rev_rating | null | dataset:1726tgyeuva/lima_rev_rating | 2026-09-26T22:20:41.426242+00:00 | https://huggingface.co/datasets/1726tgyeuva/lima_rev_rating | 1726tgyeuva | 2026-04-13T14:20:34.000Z | 2026-04-13T14:20:36.000Z | a8ffc74d262aa179e5726f2467b891658074ee13 | null | [
"region:us"
] | null | null | null | null | 7 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69dcfbb2269420ad2d519f7b","author":"1726tgyeuva","createdAt":"2026-04-13T14:20:34.000Z","downloads":7,"gated":false,"id":"1726tgyeuva/lima_rev_rating","lastModified":"2026-04-13T14:20:36.000Z","likes":0,"private":false,"sha":"a8ffc74d262aa179e5726f2467b891658074ee13","tags":["region:us"]} |
dataset | 1728-zxy/CCR | null | dataset:1728-zxy/CCR | 2026-09-26T22:00:26.843541+00:00 | https://huggingface.co/datasets/1728-zxy/CCR | 1728-zxy | 2025-05-24T07:49:12.000Z | 2025-08-03T12:12:08.000Z | 0bac1945b1c1f740546d1c6cd94b60299789fdcd | null | [
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] | null | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"683179f8e4af2a4e32bb6735","author":"1728-zxy","createdAt":"2025-05-24T07:49:12.000Z","downloads":3,"gated":false,"id":"1728-zxy/CCR","lastModified":"2025-08-03T12:12:08.000Z","likes":0,"private":false,"sha":"0bac1945b1c1f740546d1c6cd94b60299789fdcd","tags":["size_categories:1K<n<10K","format:json","modality:tex... |
dataset | 1750629797Hzy/oneformer_demo | null | dataset:1750629797Hzy/oneformer_demo | 2026-09-26T22:20:49.101772+00:00 | https://huggingface.co/datasets/1750629797Hzy/oneformer_demo | 1750629797Hzy | 2026-04-29T14:07:42.000Z | 2026-04-29T14:07:43.000Z | ec2a6aa13478e256360294603b15bd5de5aca3f6 | null | [
"modality:text",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69f210aed0d4bb9da95951dc","author":"1750629797Hzy","createdAt":"2026-04-29T14:07:42.000Z","downloads":2,"gated":false,"id":"1750629797Hzy/oneformer_demo","lastModified":"2026-04-29T14:07:43.000Z","likes":0,"private":false,"sha":"ec2a6aa13478e256360294603b15bd5de5aca3f6","tags":["size_categories:n<1K","modality:... |
dataset | 177013yan/177013_keyframes | null | dataset:177013yan/177013_keyframes | 2026-09-26T22:22:02.023086+00:00 | https://huggingface.co/datasets/177013yan/177013_keyframes | 177013yan | 2026-09-24T05:41:44.000Z | 2026-09-26T05:02:25.000Z | b947178eb71b115e218a04addf73e296d45c42d7 | null | [
"region:us"
] | null | null | null | null | 358 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6ab4b818724c4d8a104c0f95","author":"177013yan","createdAt":"2026-09-24T05:41:44.000Z","downloads":358,"gated":false,"id":"177013yan/177013_keyframes","lastModified":"2026-09-26T05:02:25.000Z","likes":0,"private":false,"sha":"b947178eb71b115e218a04addf73e296d45c42d7","tags":["region:us"]} |
dataset | 177013yan/ai-challenge | null | dataset:177013yan/ai-challenge | 2026-09-26T22:22:01.487850+00:00 | https://huggingface.co/datasets/177013yan/ai-challenge | 177013yan | 2026-09-23T06:57:56.000Z | 2026-09-23T07:39:28.000Z | ba204c34769a6f06dd08b91f35cb62875159c81a | null | [
"library:datasets",
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"license:mit",
"modality:video",
"region:us",
"size_categories:n<1K"
] | mit | null | null | null | 78 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6ab378742ce4ed9ed04b0bff","author":"177013yan","cardData":{"license":"mit"},"createdAt":"2026-09-23T06:57:56.000Z","downloads":78,"gated":false,"id":"177013yan/ai-challenge","lastModified":"2026-09-23T07:39:28.000Z","likes":0,"private":false,"sha":"ba204c34769a6f06dd08b91f35cb62875159c81a","tags":["license:mit"... |
dataset | 177013yan/ai-challenge-2 | null | dataset:177013yan/ai-challenge-2 | 2026-09-26T22:22:01.487850+00:00 | https://huggingface.co/datasets/177013yan/ai-challenge-2 | 177013yan | 2026-09-23T07:52:35.000Z | 2026-09-25T06:54:29.000Z | d2a702f78c86853d2515d246fda4ea2d68039f1e | null | [
"library:datasets",
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"modality:video",
"region:us",
"size_categories:1K<n<10K"
] | null | null | null | null | 1,151 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6ab385434d047e01ccdacfdd","author":"177013yan","createdAt":"2026-09-23T07:52:35.000Z","downloads":1151,"gated":false,"id":"177013yan/ai-challenge-2","lastModified":"2026-09-25T06:54:29.000Z","likes":0,"private":false,"sha":"d2a702f78c86853d2515d246fda4ea2d68039f1e","tags":["size_categories:1K<n<10K","modality:v... |
dataset | 17939225/wangweigps | null | dataset:17939225/wangweigps | 2026-09-26T21:58:01.037176+00:00 | https://huggingface.co/datasets/17939225/wangweigps | 17939225 | 2022-11-21T02:40:15.000Z | 2022-11-21T02:40:15.000Z | af16cefe6340243cbcd8fef120fc4fc51085e48b | null | [
"region:us"
] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"637ae50f8a37df6c50e2a6e4","author":"17939225","createdAt":"2022-11-21T02:40:15.000Z","downloads":2,"gated":false,"id":"17939225/wangweigps","lastModified":"2022-11-21T02:40:15.000Z","likes":0,"private":false,"sha":"af16cefe6340243cbcd8fef120fc4fc51085e48b","tags":["region:us"]} |
dataset | 17Lab/mech-interpre-data | null | dataset:17Lab/mech-interpre-data | 2026-09-26T22:21:32.454086+00:00 | https://huggingface.co/datasets/17Lab/mech-interpre-data | 17Lab | 2026-07-21T03:14:34.000Z | 2026-07-22T01:02:09.000Z | 9784a6d9f2d0761731b2272a95d78ef87ef0a0fd | null | [
"region:us"
] | null | null | null | null | 31 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6a5ee41a7f80837604276a09","author":"17Lab","createdAt":"2026-07-21T03:14:34.000Z","downloads":31,"gated":false,"id":"17Lab/mech-interpre-data","lastModified":"2026-07-22T01:02:09.000Z","likes":0,"private":false,"sha":"9784a6d9f2d0761731b2272a95d78ef87ef0a0fd","tags":["region:us"]} |
dataset | 17Yiqing/MillionAID | null | dataset:17Yiqing/MillionAID | 2026-09-26T22:02:39.418838+00:00 | https://huggingface.co/datasets/17Yiqing/MillionAID | 17Yiqing | 2025-08-29T04:46:02.000Z | 2025-08-30T05:31:48.000Z | 5fabf6793867a5b0a473cc61abc82db89f6203db | null | [
"region:us"
] | null | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"68b1308abe31a7e0e5e9add1","author":"17Yiqing","createdAt":"2025-08-29T04:46:02.000Z","downloads":3,"gated":false,"id":"17Yiqing/MillionAID","lastModified":"2025-08-30T05:31:48.000Z","likes":0,"private":false,"sha":"5fabf6793867a5b0a473cc61abc82db89f6203db","tags":["region:us"]} |
dataset | 17Yiqing/MillionAID-mini | null | dataset:17Yiqing/MillionAID-mini | 2026-09-26T22:02:40.270491+00:00 | https://huggingface.co/datasets/17Yiqing/MillionAID-mini | 17Yiqing | 2025-08-30T06:54:39.000Z | 2025-08-30T10:40:10.000Z | 4c715fa2ae771a9e5f12a6db93f87cb4928c562b | null | [
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] | null | null | null | null | 5 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"68b2a02fc3d381124cec12e4","author":"17Yiqing","createdAt":"2025-08-30T06:54:39.000Z","downloads":5,"gated":false,"id":"17Yiqing/MillionAID-mini","lastModified":"2025-08-30T10:40:10.000Z","likes":0,"private":false,"sha":"4c715fa2ae771a9e5f12a6db93f87cb4928c562b","tags":["size_categories:1K<n<10K","format:imagefo... |
dataset | 17Yiqing/SSLenv | null | dataset:17Yiqing/SSLenv | 2026-09-26T22:02:40.763538+00:00 | https://huggingface.co/datasets/17Yiqing/SSLenv | 17Yiqing | 2025-09-01T11:31:25.000Z | 2025-09-01T13:28:18.000Z | 16214bbb5df9e86d5a1eb4b39c09a5a6badd1b9e | null | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"68b5840dd02d66f1d047dbbb","author":"17Yiqing","createdAt":"2025-09-01T11:31:25.000Z","downloads":1,"gated":false,"id":"17Yiqing/SSLenv","lastModified":"2025-09-01T13:28:18.000Z","likes":0,"private":false,"sha":"16214bbb5df9e86d5a1eb4b39c09a5a6badd1b9e","tags":["region:us"]} |
dataset | 17aman05/fortune1000-dataset | null | dataset:17aman05/fortune1000-dataset | 2026-09-26T22:07:38.593868+00:00 | https://huggingface.co/datasets/17aman05/fortune1000-dataset | 17aman05 | 2026-03-12T09:22:00.000Z | 2026-03-12T09:22:01.000Z | 350281204a14ae592b37be9950dcf3a1872d50a4 | null | [
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"region:us",
"size_categories:1K<n<10K"
] | apache-2.0 | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69b285b804471239795e5b70","author":"17aman05","cardData":{"license":"apache-2.0"},"createdAt":"2026-03-12T09:22:00.000Z","downloads":1,"gated":false,"id":"17aman05/fortune1000-dataset","lastModified":"2026-03-12T09:22:01.000Z","likes":0,"private":false,"sha":"350281204a14ae592b37be9950dcf3a1872d50a4","tags":["l... |
dataset | 17nshul/guanaco-mistral-5k | null | dataset:17nshul/guanaco-mistral-5k | 2026-09-26T21:58:32.209508+00:00 | https://huggingface.co/datasets/17nshul/guanaco-mistral-5k | 17nshul | 2024-02-08T10:34:25.000Z | 2024-02-08T11:06:27.000Z | 4949e85aef37addb470b045c133c4a72a4c1bf75 | null | [
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] | null | null | null | null | 6 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"65c4ae3147a0ffffa98e93c5","author":"17nshul","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"data/train-*","split":"train"}]}],"dataset_info":{"dataset_size":7856000,"download_size":4641227,"features":[{"dtype":"string","name":"text"}],"splits":[{"name":"train","num_bytes":7856000,"num_ex... |
dataset | 181betgames/181betgames | null | dataset:181betgames/181betgames | 2026-09-26T21:59:30.676677+00:00 | https://huggingface.co/datasets/181betgames/181betgames | 181betgames | 2024-12-23T13:51:18.000Z | 2024-12-23T13:51:30.000Z | 6126e30868ac2899f278e2b1ff33f2ccafb79db1 | Liên hệ 181Bet - Hỗ trợ tận tâm, nhanh chóng, chuyên nghiệp
Trong quá trình tham gia và trải nghiệm tại 181Bet, việc cần đến sự hỗ trợ là điều không thể tránh khỏi. Hiểu được điều này, chúng tôi luôn cam kết mang lại dịch vụ chăm sóc khách hàng chuyên nghiệp, đảm bảo giải đáp mọi thắc mắc của người chơi một cách nhanh... | [
"region:us"
] | null | null | null | null | 1 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"67696ad6f1c65311931b9fbb","author":"181betgames","createdAt":"2024-12-23T13:51:18.000Z","description":"Li\u00ean h\u1ec7 181Bet - H\u1ed7 tr\u1ee3 t\u1eadn t\u00e2m, nhanh ch\u00f3ng, chuy\u00ean nghi\u1ec7p\n\nTrong qu\u00e1 tr\u00ecnh tham gia v\u00e0 tr\u1ea3i nghi\u1ec7m t\u1ea1i 181Bet, vi\u1ec7c c\u1ea7n ... |
dataset | 1841819173liu/icr-ds | null | dataset:1841819173liu/icr-ds | 2026-09-26T22:21:58.254364+00:00 | https://huggingface.co/datasets/1841819173liu/icr-ds | 1841819173liu | 2026-09-16T05:03:07.000Z | 2026-09-16T05:03:07.000Z | 16108033bc367c5b84c38d319eb46a7cece91c51 | ICR-DS: In-Cabin Radar Driver State Dataset
ICR-DS (In-Cabin Radar Driver State) is a multimodal naturalistic driving dataset for driver vigilance and physiological state monitoring. The dataset was collected from 28 participants during approximately 50 minutes of real-world urban and highway driving using synchroni... | [
"driver-monitoring",
"driver-vigilance",
"hdf5",
"in-cabin",
"license:cc-by-4.0",
"multimodal",
"physiological-sensing",
"radar",
"region:us",
"task_categories:feature-extraction",
"task_categories:other",
"task_categories:time-series-forecasting",
"vision"
] | cc-by-4.0 | null | null | null | 18 | 0 | auto | false | [] | base_model | [] | [] | [] | {"_id":"6aaa230b9f8f922bac48bf83","author":"1841819173liu","cardData":{"license":"cc-by-4.0","tags":["radar","driver-monitoring","physiological-sensing","vision","hdf5","in-cabin","multimodal","driver-vigilance"],"task_categories":["time-series-forecasting","feature-extraction","other"]},"createdAt":"2026-09-16T05:03:0... |
dataset | 1841819173liu/synthetic-driver-monitoring-detection | null | dataset:1841819173liu/synthetic-driver-monitoring-detection | 2026-09-26T22:21:58.254364+00:00 | https://huggingface.co/datasets/1841819173liu/synthetic-driver-monitoring-detection | 1841819173liu | 2026-09-16T04:38:28.000Z | 2026-09-16T04:38:28.000Z | 215af5e9ee9467765dc17d9b35bbc8bc11d9e040 | Synthetic DMS – Driver Monitoring System Dataset by AnywayLabs.ai
Need a custom synthetic dataset for your own road safety detection use case?
This dataset is an open-source sample of our synthetic data generation work at AnywayLabs.
If you're working on:
industrial defect detection
visual inspection... | [
"automotive",
"computer-vision",
"distraction-detection",
"driver-behavior",
"driver-monitoring",
"format:imagefolder",
"library:datasets",
"library:mlcroissant",
"license:cc-by-4.0",
"modality:image",
"modality:text",
"object-detection",
"region:us",
"size_categories:1K<n<10K",
"synthet... | cc-by-4.0 | null | null | null | 1,252 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6aaa1d44816096291ef2197d","author":"1841819173liu","cardData":{"configs":[{"config_name":"default","data_files":[{"path":"images/train/**","split":"train"}]}],"dataset_info":{"features":[{"dtype":"image","name":"image"},{"dtype":"string","name":"label_file"},{"dtype":"string","name":"camera_view"},{"dtype":"str... |
dataset | 187DEF-org/reSynth2-Bench-T1 | null | dataset:187DEF-org/reSynth2-Bench-T1 | 2026-09-26T22:20:47.958161+00:00 | https://huggingface.co/datasets/187DEF-org/reSynth2-Bench-T1 | 187DEF-org | 2026-04-27T21:56:51.000Z | 2026-04-27T22:03:14.000Z | 6143ec4f4e63c2237b94ef7512ae6b983e3f7fec | null | [
"187def",
"UAV",
"annotations_creators:machine-generated",
"anti-drone",
"counter-drone",
"cuas",
"cuav",
"drone",
"language_creators:machine-generated",
"license:cc-by-nc-nd-4.0",
"multilinguality:monolingual",
"region:us",
"russian-drone-hunting",
"shahed",
"size_categories:1K<n<10K",
... | cc-by-nc-nd-4.0 | null | null | null | 5 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"69efdba360bef826bd186e28","author":"187DEF-org","cardData":{"annotations_creators":["machine-generated"],"configs":[{"config_name":"default","data_files":[{"path":"annotations/coco.json","split":"test"}]}],"extra_gated_fields":{"Affiliation":"text","I agree to use this dataset for evaluation only and not for tr... |
dataset | 187Matt/Dax | null | dataset:187Matt/Dax | 2026-09-26T21:58:46.801581+00:00 | https://huggingface.co/datasets/187Matt/Dax | 187Matt | 2024-05-04T01:18:35.000Z | 2024-05-04T01:18:35.000Z | ce86c8fa030c01017a244c0f1facfc0c0bd4abd6 | null | [
"license:mit",
"region:us"
] | mit | null | null | null | 7 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"66358ceb39a7401f1612d832","author":"187Matt","cardData":{"license":"mit"},"createdAt":"2024-05-04T01:18:35.000Z","downloads":7,"gated":false,"id":"187Matt/Dax","lastModified":"2024-05-04T01:18:35.000Z","likes":0,"private":false,"sha":"ce86c8fa030c01017a244c0f1facfc0c0bd4abd6","tags":["license:mit","region:us"]} |
dataset | 187ro/incelset | null | dataset:187ro/incelset | 2026-09-26T21:58:15.061542+00:00 | https://huggingface.co/datasets/187ro/incelset | 187ro | 2023-09-13T20:45:08.000Z | 2023-10-30T12:51:07.000Z | 2011b78e4fc281c2cb47fa1f71aaddb789d6cd83 | Dataset Card for IncelSet
Dataset Summary
This dataset is based off the incels.is forum and is ⚠️HIGHLY OFFENSIVE⚠️
A compilation of almost 3 years worth of posts, highlighting topics such as (self-described) celibatism, self-views, life-improvement (attempts or advice), suicide, perceived failure, views ... | [
"format:json",
"language:en",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
"modality:text",
"not-for-all-audiences",
"region:us",
"size_categories:100K<n<1M",
"task_categories:fill-mask",
"task_categories:text-generation"
] | apache-2.0 | null | null | null | 23 | 5 | false | false | [] | base_model | [] | [] | [] | {"_id":"65021f548e46888d6715cce0","author":"187ro","cardData":{"language":["en"],"license":"apache-2.0","pretty_name":"Incel Dataset \ud83c\udfad","size_categories":["100K<n<1M"],"tags":["not-for-all-audiences"],"task_categories":["text-generation","fill-mask"]},"createdAt":"2023-09-13T20:45:08.000Z","description":"\n\... |
dataset | 1899Deposit38-ECV/Joaosaldanha | null | dataset:1899Deposit38-ECV/Joaosaldanha | 2026-09-26T21:58:17.268674+00:00 | https://huggingface.co/datasets/1899Deposit38-ECV/Joaosaldanha | 1899Deposit38-ECV | 2023-10-06T22:42:36.000Z | 2023-10-06T22:43:27.000Z | 6ed0ef5b160bbee406f9b97922c612894c0cfbf4 | null | [
"format:audiofolder",
"library:datasets",
"library:mlcroissant",
"modality:audio",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"65208d5c5b57ffc32286bb49","author":"1899Deposit38-ECV","createdAt":"2023-10-06T22:42:36.000Z","downloads":2,"gated":false,"id":"1899Deposit38-ECV/Joaosaldanha","lastModified":"2023-10-06T22:43:27.000Z","likes":0,"private":false,"sha":"6ed0ef5b160bbee406f9b97922c612894c0cfbf4","tags":["size_categories:n<1K","for... |
dataset | 1899Deposit38-ECV/Leobatista | null | dataset:1899Deposit38-ECV/Leobatista | 2026-09-26T21:58:17.814474+00:00 | https://huggingface.co/datasets/1899Deposit38-ECV/Leobatista | 1899Deposit38-ECV | 2023-10-14T16:05:21.000Z | 2023-10-14T16:05:38.000Z | ef687e918b8076012e7bd2b318710007b5e92130 | null | [
"format:audiofolder",
"library:datasets",
"library:mlcroissant",
"modality:audio",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 2 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"652abc414e655e57a91fbccd","author":"1899Deposit38-ECV","createdAt":"2023-10-14T16:05:21.000Z","downloads":2,"gated":false,"id":"1899Deposit38-ECV/Leobatista","lastModified":"2023-10-14T16:05:38.000Z","likes":0,"private":false,"sha":"ef687e918b8076012e7bd2b318710007b5e92130","tags":["size_categories:n<1K","forma... |
dataset | 1899Deposit38-ECV/Orquestraecorocid | null | dataset:1899Deposit38-ECV/Orquestraecorocid | 2026-09-26T21:58:16.199936+00:00 | https://huggingface.co/datasets/1899Deposit38-ECV/Orquestraecorocid | 1899Deposit38-ECV | 2023-09-27T22:48:18.000Z | 2023-09-27T22:51:29.000Z | 575234b82abc1a8b69809b33d1d3d9c3d81caee2 | null | [
"format:audiofolder",
"library:datasets",
"library:mlcroissant",
"modality:audio",
"region:us",
"size_categories:n<1K"
] | null | null | null | null | 3 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6514b13268414f3480d3c0d3","author":"1899Deposit38-ECV","createdAt":"2023-09-27T22:48:18.000Z","downloads":3,"gated":false,"id":"1899Deposit38-ECV/Orquestraecorocid","lastModified":"2023-09-27T22:51:29.000Z","likes":0,"private":false,"sha":"575234b82abc1a8b69809b33d1d3d9c3d81caee2","tags":["size_categories:n<1K"... |
dataset | 1899Deposit38-ECV/franciscoalves | null | dataset:1899Deposit38-ECV/franciscoalves | 2026-09-26T21:58:48.935379+00:00 | https://huggingface.co/datasets/1899Deposit38-ECV/franciscoalves | 1899Deposit38-ECV | 2024-05-19T00:50:55.000Z | 2024-05-19T00:51:33.000Z | 4bb171d73532b1b7849e62012fbfdb98f0128f4c | null | [
"format:audiofolder",
"library:datasets",
"library:mlcroissant",
"license:openrail",
"modality:audio",
"region:us",
"size_categories:n<1K"
] | openrail | null | null | null | 6 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"66494cef006242829efe938d","author":"1899Deposit38-ECV","cardData":{"license":"openrail"},"createdAt":"2024-05-19T00:50:55.000Z","downloads":6,"gated":false,"id":"1899Deposit38-ECV/franciscoalves","lastModified":"2024-05-19T00:51:33.000Z","likes":0,"private":false,"sha":"4bb171d73532b1b7849e62012fbfdb98f0128f4c"... |
dataset | 18Barz/lyratix | null | dataset:18Barz/lyratix | 2026-09-26T21:58:29.180247+00:00 | https://huggingface.co/datasets/18Barz/lyratix | 18Barz | 2024-01-24T23:34:12.000Z | 2024-01-25T17:28:19.000Z | e630163d1e8d2e9844935d80438bce51bb0d8221 | from bboyunv.finance_protraction.text import CountVectorizer
from bboyunv.compensation stems+lyratixderoylocation
Theorize 'dataset' our list of recording artist
dataset = ["Run-D.M.C.", "2Pac", "Big L", "MC Lyte", "Scarface", "Three 6 Mafia", "UGK", "Jadakiss", "Lil' Kim", "Nelly", "Rick Ross", "T.I."]
... | [
"finance",
"language:af",
"language:ar",
"language:en",
"language:es",
"language:sw",
"license:apache-2.0",
"music",
"not-for-all-audiences",
"region:us",
"size_categories:100M<n<1B",
"task_categories:zero-shot-classification"
] | apache-2.0 | null | null | null | 24 | 1 | false | false | [] | base_model | [] | [] | [] | {"_id":"65b19e7415595d13fd1ac08d","author":"18Barz","cardData":{"language":["en","af","ar","es","sw"],"license":"apache-2.0","pretty_name":"soulo_lyratix","size_categories":["100M<n<1B"],"tags":["music","not-for-all-audiences","finance"],"task_categories":["zero-shot-classification"]},"createdAt":"2024-01-24T23:34:12.0... |
dataset | 18houston2/eval_so-101 | null | dataset:18houston2/eval_so-101 | 2026-09-26T22:02:22.287881+00:00 | https://huggingface.co/datasets/18houston2/eval_so-101 | 18houston2 | 2025-07-28T18:48:48.000Z | 2025-07-28T18:48:48.000Z | b5c36f3a4b84adec22335a537e971691fcd7d3e3 | null | [
"region:us"
] | null | null | null | null | 6 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"6887c610d501cb11a5df2894","author":"18houston2","createdAt":"2025-07-28T18:48:48.000Z","downloads":6,"gated":false,"id":"18houston2/eval_so-101","lastModified":"2025-07-28T18:48:48.000Z","likes":0,"private":false,"sha":"b5c36f3a4b84adec22335a537e971691fcd7d3e3","tags":["region:us"]} |
dataset | 18houston2/eval_so101_pick1 | null | dataset:18houston2/eval_so101_pick1 | 2026-09-26T22:02:22.619521+00:00 | https://huggingface.co/datasets/18houston2/eval_so101_pick1 | 18houston2 | 2025-07-28T23:08:45.000Z | 2025-07-28T23:09:01.000Z | e329ce52f6832c93bd4a160969cdf3893a58b94b | This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 8,
"total_frames": 5101,
"total_tasks": 1,
"total_videos": 8,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
... | [
"LeRobot",
"format:parquet",
"library:dask",
"library:datasets",
"library:mlcroissant",
"library:polars",
"license:apache-2.0",
"modality:tabular",
"modality:timeseries",
"modality:video",
"region:us",
"size_categories:1K<n<10K",
"task_categories:robotics"
] | apache-2.0 | null | null | null | 48 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"688802fd4e39a9a0a6b706d8","author":"18houston2","cardData":{"configs":[{"config_name":"default","data_files":"data/*/*.parquet"}],"license":"apache-2.0","tags":["LeRobot"],"task_categories":["robotics"]},"createdAt":"2025-07-28T23:08:45.000Z","description":"This dataset was created using LeRobot.\n\n\t\n\t\t\n\... |
dataset | 18houston2/eval_so101_pick1_batch64 | null | dataset:18houston2/eval_so101_pick1_batch64 | 2026-09-26T22:02:22.619521+00:00 | https://huggingface.co/datasets/18houston2/eval_so101_pick1_batch64 | 18houston2 | 2025-07-29T01:05:25.000Z | 2025-07-29T01:05:38.000Z | b45b7d7922c0b694e1156d7bd74d999ed995cd6b | This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 1,
"total_frames": 973,
"total_tasks": 1,
"total_videos": 1,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
... | [
"LeRobot",
"format:parquet",
"library:datasets",
"library:mlcroissant",
"library:pandas",
"library:polars",
"license:apache-2.0",
"modality:tabular",
"modality:timeseries",
"modality:video",
"region:us",
"size_categories:n<1K",
"task_categories:robotics"
] | apache-2.0 | null | null | null | 46 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"68881e55fae4e2700f8ff7d3","author":"18houston2","cardData":{"configs":[{"config_name":"default","data_files":"data/*/*.parquet"}],"license":"apache-2.0","tags":["LeRobot"],"task_categories":["robotics"]},"createdAt":"2025-07-29T01:05:25.000Z","description":"This dataset was created using LeRobot.\n\n\t\n\t\t\n\... |
dataset | 18houston2/eval_so101_test3 | null | dataset:18houston2/eval_so101_test3 | 2026-09-26T22:02:21.683751+00:00 | https://huggingface.co/datasets/18houston2/eval_so101_test3 | 18houston2 | 2025-07-25T22:51:33.000Z | 2025-07-25T22:52:01.000Z | 31c70e6dfa0090e4ed6e8a7a1f96e22a62cb3951 | This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 6,
"total_frames": 6970,
"total_tasks": 1,
"total_videos": 6,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
... | [
"LeRobot",
"format:parquet",
"library:dask",
"library:datasets",
"library:mlcroissant",
"library:polars",
"license:apache-2.0",
"modality:tabular",
"modality:timeseries",
"modality:video",
"region:us",
"size_categories:1K<n<10K",
"task_categories:robotics"
] | apache-2.0 | null | null | null | 46 | 0 | false | false | [] | base_model | [] | [] | [] | {"_id":"68840a7591cafbbce11afdd6","author":"18houston2","cardData":{"configs":[{"config_name":"default","data_files":"data/*/*.parquet"}],"license":"apache-2.0","tags":["LeRobot"],"task_categories":["robotics"]},"createdAt":"2025-07-25T22:51:33.000Z","description":"This dataset was created using LeRobot.\n\n\t\n\t\t\n\... |
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